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Llama 3.2 11B Vision vs Step 3.7 Flash

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Llama 3.2 11B Vision and Step 3.7 Flash.

Meta

Llama 3.2 11B Vision

Meta's lightweight open weights vision model, optimized for mobile devices and local deployments. Capable of visual understanding, chart reading, and fast text generation.

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StepFun

Step 3.7 Flash

Step 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model. It pairs a 196B-parameter language backbone with a vision encoder for native image and video understanding, activating roughly 11B parameters...

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Technical Specifications

SpecificationLlama 3.2 11B VisionStep 3.7 Flash
ProviderMetaStepFun
Context Window131,072 tokens256,000 tokens
Agent Suitability72/100N/A
Time to First Token (TTFT)150 msN/A
Deployment Modelself hostablemanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-09-252026-05-28

API Pricing Comparison

Input Price per Million Tokens

Llama 3.2 11B Vision

$0.34

Step 3.7 Flash

$0.20

Output Price per Million Tokens

Llama 3.2 11B Vision

$0.34

Step 3.7 Flash

$1.15

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
7300.0%vs8450.0%
Llama 3.2 11B Vision
Step 3.7 Flash
HumanEvalPython coding & logic synthesis
7500.0%vs8600.0%
Llama 3.2 11B Vision
Step 3.7 Flash
MATHComplex mathematical problem solving
5800.0%vs6680.0%
Llama 3.2 11B Vision
Step 3.7 Flash
GPQAGraduate-level expert reasoning
3800.0%vs4400.0%
Llama 3.2 11B Vision
Step 3.7 Flash
HellaSwagCommonsense reasoning and inference
8200.0%vs8580.0%
Llama 3.2 11B Vision
Step 3.7 Flash
MT-BenchMulti-turn conversation flow quality
790.0%vs890.0%
Llama 3.2 11B Vision
Step 3.7 Flash

Llama 3.2 11B Vision Quirks & Gotchas

  • โ–ธLightweight vision model for edge/on-device deployments
  • โ–ธLimited tool calling โ€” use Llama 4 for production agentic tasks

Step 3.7 Flash Quirks & Gotchas

No developer gotchas reported.